Suchergebnisse - Deep-learning algorithms for image classification

The effects of visual congruence on increasing consumers’ brand engagement: An empirical investigation of influencer marketing on instagram using deep-learning algorithms for automatic image classification von Argyris, Young Anna, Wang, Zuhui, Kim, Yongsuk, Yin, Zhaozheng

“… Influencers are non-celebrity individuals who gain popularity on social media by posting visually attractive content (e.g., photos and videos) and by …”
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ANALYSIS OF DEEP LEARNING ALGORITHMS FOR IMAGE CLASSIFICATION von Dhand, Geetika, Sheoran, Kavita, Jain, Rachna, Garg, Vaani, Malik, Shaily, Gupta, Koyel Datta, Kaur, Amandeep, Aggarwal, Nisha

“… Image classification is one of the most significant applications of Deep Learning models …”
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Comparative Analysis of Deep Learning Algorithms for Image Classification von Chowdary, Ginjupalli Pranay, K, Rajakumar, Narendra Yalla, Sri Satya, Yadav, Varthala Charith, Kasetty, Sai Bhargav

“… to the exponential rise in data volume, manual adjustment is no longer feasible or efficient. This difficulty has led to the adoption of deep learning algorithms, which automate …”
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An image classification deep-learning algorithm for shrapnel detection from ultrasound images von Snider, Eric J., Hernandez-Torres, Sofia I., Boice, Emily N.

“… possible. However, image interpretation remains a challenge as proper expertise may not be available. In response, artificial intelligence algorithms are being investigated to automate image analysis and diagnosis …”
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S898 Empirical Mode Decomposition Based Deep Learning Algorithm for Gastrointestinal Endoscopic Image Classification von Gopalakrishnan, Keerthy, Parikh, Charmy, Goudel, Aastha, Sood, Divyanshi, Arunachalam, Shivaram Poigai, Deb, Mou, Kanti, Mrinal

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Evaluating the generalizability of deep learning image classification algorithms to detect middle ear disease using otoscopy von Habib, Al-Rahim, Xu, Yixi, Bock, Kris, Mohanty, Shrestha, Sederholm, Tina, Weeks, William B., Dodhia, Rahul, Ferres, Juan Lavista, Perry, Chris, Sacks, Raymond, Singh, Narinder

“… To evaluate the generalizability of artificial intelligence (AI) algorithms that use deep learning methods to identify middle ear disease from otoscopic images, between internal to external performance …”
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Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images von Bechelli, Solene, Delhommelle, Jerome

“… We carry out a critical assessment of machine learning and deep learning models for the classification of skin tumors. Machine learning (ML …”
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CNN/Bi‐LSTM‐based deep learning algorithm for classification of power quality disturbances by using spectrogram images von Özer, İlyas, Efe, Serhat Berat, Özbay, Harun

“… This paper, using an inverse signal approach, presents a novel deep learning algorithm based on a convolutional neural network (CNN …”
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Comparative analysis of image classification algorithms based on traditional machine learning and deep learning von Wang, Pin, Fan, En, Wang, Peng

“… •Representative SVM and CNN algorithms in traditional machine learning and deep learning for research …”
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A review of deep learning algorithms for computer vision systems in livestock von Borges Oliveira, Dario Augusto, Ribeiro Pereira, Luiz Gustavo, Bresolin, Tiago, Pontes Ferreira, Rafael Ehrich, Reboucas Dorea, Joao Ricardo

“… •Greater adoption of deep learning algorithms for image classification.•The phenotype with greater interest was animal behavior …”
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A survey of automated data augmentation algorithms for deep learning-based image classification tasks von Yang, Zihan, Sinnott, Richard O., Bailey, James, Ke, Qiuhong

“… In recent years, one of the most popular techniques in the computer vision community has been the deep learning technique …”
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Image Classification Algorithm Based on Deep Learning-Kernel Function von Liu, Jun-e, An, Feng-Ping

“… The deep learning model has a powerful learning ability, which integrates the feature extraction and classification process into a whole to complete the image classification test …”
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Three‐dimensional dental image segmentation and classification using deep learning with tunicate swarm algorithm von Awari, Harshavardhan, Subramani, Neelakandan, Janagaraj, Avanija, Balasubramaniapillai Thanammal, Geetha, Thangarasu, Jackulin, Kohar, Rachna

“… Automated segmentation and classification of 3D dental images using advanced machine learning and deep learning (DL …”
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Multi-class Image Classification Using Deep Learning Algorithm von Ezat, W A, Dessouky, M M, Ismail, N A

“… Classifying images is a complex problem in the field of computer vision. The deep learning algorithm is a computerized model simulates the human brain functions and operations …”
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Training Ultrasound Image Classification Deep-Learning Algorithms for Pneumothorax Detection Using a Synthetic Tissue Phantom Apparatus von Boice, Emily N., Hernandez Torres, Sofia I., Knowlton, Zechariah J., Berard, David, Gonzalez, Jose M., Avital, Guy, Snider, Eric J.

“… Here, we detail the development of a dynamic synthetic tissue phantom model for PTX and its use in training image classification algorithms …”
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BraNet: a mobil application for breast image classification based on deep learning algorithms von Jiménez-Gaona, Yuliana, Álvarez, María José Rodríguez, Castillo-Malla, Darwin, García-Jaen, Santiago, Carrión-Figueroa, Diana, Corral-Domínguez, Patricio, Lakshminarayanan, Vasudevan

“… This study aims to develop an open-source mobile app named “BraNet” for 2D breast imaging segmentation and classification using deep learning algorithms …”
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Feature Fusion Using Deep Learning Algorithms in Image Classification for Security Purposes by Random Weight Network von Kiran, Mustafa Servet, Seyfi, Gokhan, Yilmaz, Merve, Esme, Engin, Wang, Xizhao

“… Automated threat detection in X-ray security imagery is a critical yet challenging task, where conventional deep learning models often struggle with low accuracy and overfitting …”
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ForestResNet: A Deep Learning Algorithm for Forest Image Classification von Tang, Yongqing, Feng, Hao, Chen, Junyan, Chen, Yuan

“… ]. Therefore, early detection of forest fires is significant for forest fire protection. The application of deep learning to the classification of smoke and fire in forest images can detect forest conditions more accurately …”
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CRAT: Advanced transformer-based deep learning algorithms in OCT image classification von Yang, Mingming, Du, Junhui, Lv, Ruichan

“… In this research, we developed a transformer-based deep learning algorithm named Class-Re-Attention Transformers (CRAT …”
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Improved deep learning image classification algorithm based on Swin Transformer V2 von Wei, Jiangshu, Chen, Jinrong, Wang, Yuchao, Luo, Hao, Li, Wujie

“… While convolutional operation effectively extracts local features, their limited receptive fields make it challenging to capture global dependencies …”
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